Fine particles exposure and cardiopulmonary morbidity in Jeddah: A time-series analysis

Nayebare, Shedrack R.; Aburizaiza, O. S.; Siddique, Azhar; Carpenter, David O.; Pope, C. Arden; Mirza, Hussain M.; Zeb, Jahan; Aburiziza, Abdullah J.; Khwaja, Haider A.

doi:10.1016/j.scitotenv.2018.08.094

Cited by 26 publications

(16 citation statements)

References 29 publications

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“…In general, ambient air quality at the KAU campus is the worst for pedestrians during peak hours. This makes a robust case for policymakers to make the campus car-free, as curbing sources of fine particle emissions might reduce deadly health consequences [73]. Our study reinforces the findings of Ruben Garnica-Monroy et al [8], which suggest that the exposure of a population to roads with heavy traffic exposes it to higher health risks and necessitates changes in urban planning and public health policies.…”

Section: Discussionsupporting

confidence: 85%

“…Health consequences associated with fine particles have been well-researched in the global north and the global south, but there are very few studies in the Middle East region, particularly in Saudi Arabia. An important study by Nayebare et al [73] noted that the PM 2.5 concentration in Jeddah City is increasing the risk of cardiopulmonary and respiratory morbidity.…”

Section: Discussionmentioning

confidence: 99%

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Modeling Spatial Distribution and Determinant of PM2.5 at Micro-Level Using Geographically Weighted Regression (GWR) to Inform Sustainable Mobility Policies in Campus Based on Evidence from King Abdulaziz University, Jeddah, Saudi Arabia

Tiwari

Aljoufie

2021

Sustainability

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Air pollution is fatal. Fine particles, such as PM2.5, in ambient air might be the cause of many physical and psychological disorders, including cognitive decline. This is why educational policymakers are adopting sustainable mobility, and other policy measures, to make their campuses carbon-neutral; however, car-dependent cities and their university campuses are still lagging behind in this area. This study attempts to model the spatial heterogeneity and determinants of PM2.5 at the King Abdulaziz University campus in Jeddah, which is ranked first among the Saudi Arabian universities, as well as in the MENA region. We developed four OLS and GWR models of different peak and off-peak periods during weekdays in order to estimate the determinants of the PM2.5 concentration. The number of cars, humidity, temperature, windspeed, distance from trees, and construction sites were the estimators in our analysis. Because of a lack of secondary data at a finer scale, we collected the samples of all dependent and independent variables at 51 locations on the KAU campus. Model selection was based on RSS, log-likelihood, adjusted R2, and AICc, and a modal comparison shows that the GWR variant of Model-2 outperformed the other models. The results of the GWR model demonstrate the geographical variability of the PM2.5 concentration on the KAU campus, to which the volume of car traffic is the key contributor. Hence, we recommend using the results of this study to support the development of a car-free and zero-carbon campus at KAU; furthermore, this study could be exploited by other campuses in Saudi Arabia and the Gulf region.

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Section: Discussionsupporting

confidence: 85%

Section: Discussionmentioning

confidence: 99%

Modeling Spatial Distribution and Determinant of PM2.5 at Micro-Level Using Geographically Weighted Regression (GWR) to Inform Sustainable Mobility Policies in Campus Based on Evidence from King Abdulaziz University, Jeddah, Saudi Arabia

Tiwari

Aljoufie

2021

Sustainability

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“…In particular, a recent time-series study in Shanghai indicated that with an elevation of PM2.5 moving average-day lags (lag01-lag05), the size of PM2.5 effect on daily outpatient visits increased [47]. Similarly, a time-series study performed in Saudi Arabia also found that a larger PM2.5 moving average-day lag was associated with a greater cardiovascular visits risk for males, females and the combined groups [48]. Another short-term study that examined the effect of PM2.5 with different lags on respiratory hospital admissions further enhanced the evidence of PM2.5 lag effects [49].…”

Section: Discussionmentioning

confidence: 96%

Ambient PM2.5 and Annual Lung Cancer Incidence: A Nationwide Study in 295 Chinese Counties

Guo

Liu

2020

IJERPH

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Most studies have examined PM2.5 effects on lung cancer mortalities, while few nationwide studies have been conducted in developing countries to estimate the effects of PM2.5 on lung cancer incidences. To fill this gap, this work aims to examine the effects of PM2.5 exposure on annual incidence rates of lung cancer for males and females in China. We performed a nationwide analysis in 295 counties (districts) from 2006 to 2014. Two regression models were employed to analyse data controlling for time, location and socioeconomic characteristics. We also examined whether the estimates of PM2.5 effects are sensitive to the adjustment of health and behaviour covariates, and the issue of the changing cancer registries each year. We further investigated the modification effects of region, temperature and precipitation. Generally, we found significantly positive associations between PM2.5 and incidence rates of lung cancer for males and females. If concurrent PM2.5 changes by 10 μg/m3, then the incidence rate relative to its baseline significantly changes by 4.20% (95% CI: 2.73%, 5.88%) and 2.48% (95% CI: 1.24%, 4.14%) for males and females, respectively. The effects of exposure to PM2.5 were still significant when further controlling for health and behaviour factors or using 5 year consecutive data from 91 counties. We found the evidence of long-term lag effects of PM2.5. We also found that temperature appeared to positively modify the effects of PM2.5 on the incidence rates of lung cancer for males. In conclusion, there were significantly adverse effects of PM2.5 on the incidence rates of lung cancer for both males and females in China. The estimated effect sizes might be considerably lower than those reported in developed countries. There were long-term lag effects of PM2.5 on lung cancer incidence in China.

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“…However, there is limited research on the specific association between exposure to air pollution and genomic effects as it relates to cardiopulmonary disease. Cardiopulmonary disease is of concern, due to the rising number of cases in PM-exposed populations [9,24,25,26]. The purpose of this manuscript is to review the literature published over the prior 10 years that investigate the genomics of PM-exposure related cardiopulmonary disease.…”

Section: Introductionmentioning

confidence: 99%

Genomics of Particulate Matter Exposure Associated Cardiopulmonary Disease: A Narrative Review

Citron

Willcocks

Crowley

et al. 2019

IJERPH

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Particulate matter (PM) exposure is associated with the development of cardiopulmonary disease. Our group has studied the adverse health effects of World Trade Center particulate matter (WTC-PM) exposure on firefighters. To fully understand the complex interplay between exposure, organism, and resultant disease phenotype, it is vital to analyze the underlying role of genomics in mediating this relationship. A PubMed search was performed focused on environmental exposure, genomics, and cardiopulmonary disease. We included original research published within 10 years, on epigenetic modifications and specific genetic or allelic variants. The initial search resulted in 95 studies. We excluded manuscripts that focused on work-related chemicals, heavy metals and tobacco smoke as primary sources of exposure, as well as reviews, prenatal research, and secondary research studies. Seven full-text articles met pre-determined inclusion criteria, and were reviewed. The effects of air pollution were evaluated in terms of methylation (n = 3), oxidative stress (n = 2), and genetic variants (n = 2). There is evidence to suggest that genomics plays a meditating role in the formation of adverse cardiopulmonary symptoms and diseases that surface after exposure events. Genomic modifications and variations affect the association between environmental exposure and cardiopulmonary disease, but additional research is needed to further define this relationship.

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Fine particles exposure and cardiopulmonary morbidity in Jeddah: A time-series analysis

Cited by 26 publications

References 29 publications

Modeling Spatial Distribution and Determinant of PM2.5 at Micro-Level Using Geographically Weighted Regression (GWR) to Inform Sustainable Mobility Policies in Campus Based on Evidence from King Abdulaziz University, Jeddah, Saudi Arabia

Modeling Spatial Distribution and Determinant of PM2.5 at Micro-Level Using Geographically Weighted Regression (GWR) to Inform Sustainable Mobility Policies in Campus Based on Evidence from King Abdulaziz University, Jeddah, Saudi Arabia

Ambient PM2.5 and Annual Lung Cancer Incidence: A Nationwide Study in 295 Chinese Counties

Genomics of Particulate Matter Exposure Associated Cardiopulmonary Disease: A Narrative Review

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